Meituan has released LongCat-2.0, a trillion-parameter AI model built and run entirely on Chinese hardware infrastructure. This open-source move underscores China's push to build a self-contained AI ecosystem and reduce dependence on U.S. technology platforms.
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Meituan has open-sourced LongCat-2.0, a trillion-parameter AI model that was trained and deployed entirely on Chinese computing infrastructure. The model was previously known as Owl Alpha.
Why it matters
The release signals China's domestic AI stack—both software models and hardware chips—is advancing toward self-sufficiency. For businesses evaluating AI suppliers, this demonstrates an alternative development path independent of U.S. technology controls.
What to watch
LongCat-2.0 represents a test of whether China can sustain competitive large-scale AI without relying on foreign chip and software ecosystems.
Meituan's decision to open-source LongCat-2.0 marks a notable milestone in China's domestic AI development. By publicly releasing a trillion-parameter model trained entirely on Chinese infrastructure—rather than keeping it proprietary—the company is effectively validating the maturity of both the local software models and the underlying chip ecosystem. The rebranding from the anonymous "Owl Alpha" to the public "LongCat-2.0" suggests a shift from experimental to production-ready deployment.
The significance lies in the infrastructure independence the announcement implies. Training and deploying a model of this scale typically requires access to advanced chips and cloud resources. That Meituan completed this cycle using only domestic Chinese computing hardware suggests the supply chain—from chip design and manufacturing to software frameworks—has crossed a threshold where it can support state-of-the-art AI development without foreign dependencies. For global businesses and governments watching tech decoupling, this is a concrete data point that China's "made domestically" AI stack is no longer theoretical.
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